Thesis etd-10012023-232628 | |
Thesis type
Tesi di laurea magistrale
Thesis title
Enhancing b-tagging for the analysis of the Higgs boson decay to bottom quarks with the CMS experiment
Keywords
- b-tagging
- cms
- hep
- higgs
- lhc
- machine learning
Graduation session start date
23/10/2023
Abstract (Italiano)
The ability to accurately identify and classify heavy-flavour jets produced in high-energy particle collisions is crucial for many analyses in CMS. In this thesis we introduce the ParticleEdge network, a Graph Neural Network-based b-tagging algorithm that showcases superior performance compared to the previous-generation algorithms utilized in CMS. Moreover, additional research was undertaken to assess the implications of improved b-tagging techniques on the analysis of the Higgs boson decay to b-quarks.
